Name: Prahlad K. Routh, Ph.D.
Type: User
Company: Stony Brook University
Bio: ML Team Lead & Materials Scientist | Applied ML in Materials Science, Chemistry, NLP and beyond
Twitter: prahladr
Location: New York, NY
Blog: www.prahladrouth.xyz
Prahlad K. Routh, Ph.D.'s Projects
An open-source NLP research library, built on PyTorch.
XAS Encoder
:sunglasses: Curated list of awesome lists
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
Code and walkthrough labs to set up serverless applications for Wild Rydes workshops
Using approximate bayesian posteriors in deep nets for active learning
Mapping a variable-length sentence to a fixed-length vector using BERT model
Elasticsearch with BERT for advanced document search.
:black_circle: A spaCy pipeline and model for NLP on unstructured legal text.
Beyond the basics - Learn Spark
Content ExtRactor and MINEr
This crate provides a simple way to parse and manipulate chemical formulas including weight percent and nested formulas.
Inference algorithms for models based on Luce's choice axiom
Install Conda and friends on Google Colab, easily
Data science interview questions and answers
In-depth tutorials for implementing deep learning models on your own with PyTorch.
A book on modeling materials using VASP, ase and vasp
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Example implementations of common machine learning projects in chemistry.
A free, open-source expert system for guided interviews and document assembly, based on Python, YAML, and Markdown.
A simple probabilistic programming language.
Conky widget to display time and weather
Extraction Toolkit
Extract Facts using LM
A set of classes/scripts for NLP tasks focused on finance data
Topic Modelling for Humans
The Global Legal Entity Identifier Foundation (GLEIF) publishes daily an updated ‘Concatenated File’, which includes all Legal Entity Identifiers (LEIs) issued globally and related LEI reference data published by LEI issuing organizations compliant with the Common Data File (CDF) Format. The development team will attempt to integrate this file in to an in house database.
These are the slides associated with the GNN tutorial at the APS March Meeting
Official Code Repository for the paper "Graph Ordering Attention Networks"